data developer

Doghouse Recruitment

<div>
 
 
 Data Engineer &ndash; SaaS (Amsterdam / Hybrid / up to &euro;85K + bonus)
 
 
 
 
 
 
 My client is looking for a Data Engineer to help take their customer app to the next level. The app is used by over 700,000 users and relied on daily by thousands, playing a key role in enabling more sustainable travel by bike, car, and scooter. In this role, your work will directly influence how people move through their cities every day.
 
 
 
 
 
 You will join a passionate team of 20 engineers working with modern technologies, focused on building new features, improving performance, and delivering an outstanding user experience. On top of this, the company is preparing for a major data migration and expects to onboard an additional 100,000 users in the short term making scalability, reliability, and performance more critical than ever.
 
 
 
 
 
 
 The role
 
 
 
 You will be working on a modern data platform built with Clickhouse, Airflow, Python, Docker, and Kubernetes. The platform processes large volumes of operational and event data and delivers reliable analytics at scale.
 
 
 
 
 
 In this role, you will design, build, and maintain robust data pipelines, improve and optimise data models, and help further develop the overall data platform. You will work closely with product and engineering teams to ensure data is accurate, reliable, and scalable across the organization.
 
 
 You will join a strong engineering environment where modern tooling, ownership, and impact are key.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role
 </li>
 <li>
 Strong experience with Python and building data pipelines
 </li>
 <li>
 Hands-on experience with DBT, Snowflake, Airflow, or similar orchestration tools
 </li>
 <li>
 Experience with CI/CD, Docker &amp; Kubernetes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary up to &euro;85K (including holiday allowance)
 </li>
 <li>
 Hybrid working model (60/40)
 </li>
 <li>
 Start with a 12-month contract, with permanent hire thereafter
 </li>
 <li>
 &ldquo;Check-out day&rdquo; every two weeks for a mental reset
 </li>
 <li>
 Bonus scheme
 </li>
 <li>
 &euro;2,000 annual learning budget
 </li>
 <li>
 Ability to work remotely for 2 weeks per year (including workations)
 </li>
 </ul>
 
 
 
 
 
 Interested? Apply or contact me at glenn@doghouse-recruitment.nl
 
 
</div>

Data Engineer

Client Server

<div>
 
 
 
 Full Stack Developer / Engineer (Kotlin AWS JavaScript) Amsterdam to &euro;85,000
 
 
 
 
 
 
 
 Are you a skilled Full Stack Developer looking for an opportunity to progress your career whilst working with a modern tech stack and continually improving your skills?
 
 
 
 
 
 You could be joining a scaling, global FinTech company, working on a successful product that helps global companies to achieve sustainability and NetZero targets via Blockchain technology solutions.
 
 
 
 
 
 As a Full Stack Developer you will work across the full technology stack with a focus on Kotlin backend systems but also with some front end (JavaScript, Angular / React) work. You'll quickly gain an understanding of the complete ecosystem of the modern, distributed application with a broad scope of work including AWS, mobile applications, trading and transfer functionality and integration of 3rd party platforms.
 
 
 
 
 
 This is an opportunity to work on worthwhile technology that is helping to increase decarbonisation whilst working on complex and interesting systems with continual learning opportunities.
 
 
 
 
 
 
 WFH Policy:
 
 
 
 You'll join colleagues in the Amsterdam office two days a week with flexibility to work from home the other three days.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong serverside Kotlin experience (Java background is good)
 </li>
 <li>
 You have experience with Spring Boot and microservices
 </li>
 <li>
 You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures
 </li>
 <li>
 You have a good knowledge of AWS
 </li>
 <li>
 You have a good understanding of CI/CD, DevOps
 </li>
 <li>
 You also have some JavaScript, Angular, React front end skills
 </li>
 <li>
 You're collaborative, enjoy problem solving and continually learning
 </li>
 <li>
 You're keen to work in a start-up / scale-up environment with lots of ownership
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 <ul>
 <li>
 Salary to &euro;85,000
 </li>
 <li>
 Flexible working in a relaxed technology focussed environment
 </li>
 <li>
 Continual learning and self-development opportunities
 
 
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Full Stack Developer / Engineer (Kotlin AWS JavaScript) opportunity.
 
</div>

Full Stack Developer Kotlin AWS JavaScript - Start-up

Pancompany

<div>
 
 
 Wat ga je doen.
 
 
 
 Organisaties zitten boordevol data. Jij bedenkt, ontwerpt en ontwikkelt als (Big) Data Engineer technische oplossingen voor ongestructureerde data vanuit de databron. Zodat deze data kan worden omgezet naar informatie, door bijvoorbeeld een dashboard te bouwen of door een grondige data-analyse te maken. Jouw werk heeft dus grote impact! Je draagt als Data Engineer direct bij aan de bestuurbaarheid en onderbouwing van de beslissingen die CEO&rsquo;s en managementteams dagelijks nemen.
 
 
 
 
 
 Door jouw ervaring met softwareontwikkeling en data-infrastructuur ben je van meerwaarde voor iedere klant. Je werkt graag samen met data scientists om de door hen getrainde machine learning modellen in de praktijk tot een succes te maken. Daarnaast haal je jouw plezier uit het zo effici&euml;nt en effectief mogelijk inrichten van de streaming data pipelines van onze klanten.
 
 
 
 
 
 Als Data Engineer begrijp je het belang van realtime kennis en zoek je dus zelfstandig naar mogelijke oplossingen voor de uitdagingen van onze klanten en werk je deze oplossingen uit. De technische rol die jij vertolkt helpt de klant bij de vertaling van hun probleem naar een oplossing door van het gebruik van de juiste Tech-stack.
 
 
 
 
 
 Je werkt voor grote bedrijven zoals de Nederlandse overheid en top-200 bedrijven. En dat biedt jou de unieke kans om op grote schaal impact te maken. De complexiteit en omvang van de data bij deze bedrijven bieden uitdagende mogelijkheden voor een Data Engineer. Je bent betrokken bij projecten die de koers van deze bedrijven be&iuml;nvloeden en de besluitvorming van CEO&rsquo;s en managementteams ondersteunen, waardoor je bijdraagt aan hun succes en groei.
 
 
 
 
 
 Jij wil de beste zijn in je werk en werken met de nieuwste technieken. Van ons krijg je dus alle ruimte om je te blijven ontwikkelen en deel te nemen aan trainingen, cursussen en seminars. Ben jij de Data Engineer die onze community komt versterken?
 
 
 
 
 
 
 Wij bieden.
 
 
 <ul>
 <li>
 
 Salaris
 
 . Een onvoorwaardelijk en gegarandeerd basisinkomen, wat jou zekerheid geeft.
 </li>
 <li>
 
 Provisie
 
 . Naast het basissalaris deel je mee in de omzet met ons
 
 Solidshare
 
 beloningsmodel. En dat kan aardig oplopen.
 </li>
 <li>
 
 Zekerheid
 
 . Uiteraard krijg je een vast contract met prima secundaire arbeidsvoorwaarden.
 </li>
 <li>
 
 Vakantiedagen
 
 . Onbeperkt!
 </li>
 <li>
 
 Essentials
 
 . Een auto, laptop en telefoon, dat spreekt voor zich.
 </li>
 <li>
 
 Projecten
 
 . Samen kiezen we de projecten waar jij helemaal op je plek zit.
 </li>
 <li>
 
 Ontwikkeling
 
 . Opleidingen, trainingen en cursussen die bij je passen.
 </li>
 <li>
 
 Een stem
 
 . Laat je horen in onze
 
 Data Analytics
 
 competence.
 </li>
 <li>
 
 Our community
 
 . Deel kennis, successen en gezelligheid met collega&rsquo;s die net zo bezeten zijn van IT als jij.
 </li>
 <li>
 
 Events
 
 . Van onze jaarlijkse ski-trip naar Oostenrijk en de jubileumreis naar
 
 Dublin
 
 tot een MTB-clinic of running event. Van tweewekelijkse
 
 Dungeons &amp; Dragons
 
 -avonden tot familiedagen naar de Efteling.
 </li>
 </ul>
 
 
 
 
 
 Dit ben jij.
 
 
 
 Je hebt een relevant HBO of WO-diploma, bij voorkeur Computer Science of Artificial Intelligence. Je programmeert bij voorkeur met Java, Scala of Python.
 
 
 Je bent de Data Engineer die alles weet van noodzakelijke pipeline tooling als Kafka, Spark, Cassandra en containertooling als Docker, Airflow of Kubernetes. Bij voorkeur heb je ook al ervaring met cloud oplossingen (Microsoft Azure of AWS).
 
 
 Je bent analytisch sterk en kunt zelfstandig organisaties adviseren over de te nemen beslissingen. Tot slot spreek en schrijf je vloeiend Nederlands en Engels.
 
 
 
 
 
 
 Bij Pancompany.
 
 
 
 Ben je de beste in je vak.
 
 
 Denk en handel je als een ondernemer.
 
 
 Maak je plezier en geniet je volop.
 
</div>

Odgers Nederland

<div>
 
 Bij Odgers bouwen we aan een datagedreven en toekomstbestendige executive search organisatie. Om onze ambitie verder vorm te geven, zoeken wij een
 
 Data Engineer
 
 die onze datafundamenten versterkt en helpt om onze processen slimmer, sneller en beter voorspelbaar te maken.
 
 
 
 
 
 
 Over de rol
 
 
 
 Als Data Engineer speel je een sleutelrol in het ontwikkelen en onderhouden van onze data‑infrastructuur. Je zorgt ervoor dat data betrouwbaar beschikbaar is voor analyses, dashboards en AI‑toepassingen die direct bijdragen aan onze search- en advisorypraktijk.
 
 
 Je werkt nauw samen met research, consultants en operations om data om te zetten in concrete inzichten die onze dienstverlening verbeteren.
 
 
 
 
 
 
 Wat ga je doen
 
 
 <ul>
 <li>
 Ontwerpen, bouwen en onderhouden van data pipelines en data‑modellen
 </li>
 <li>
 Integreren van verschillende databronnen (ATS, CRM, M365, externe datasets)
 </li>
 <li>
 Waarborgen van datakwaliteit, consistentie en security (GDPR/AVG-proof)
 </li>
 <li>
 Ondersteunen van rapportages, dashboards en KPI‑sturing
 </li>
 <li>
 Meewerken aan AI- en automatiseringsoplossingen (bijv. Copilot use cases)
 </li>
 <li>
 Vertalen van businessvragen naar data‑gedreven oplossingen
 </li>
 </ul>
 
 
 
 
 
 Wat breng je mee
 
 
 <ul>
 <li>
 Bachelor of master in Data Science, Computer Science of vergelijkbaar
 </li>
 <li>
 Minimaal 3 jaar ervaring als Data Engineer of in een vergelijkbare rol
 </li>
 <li>
 Sterke kennis van SQL en ervaring met data pipelines (bijv. Python, Azure Data Factory, Databricks)
 </li>
 <li>
 Ervaring met cloudomgevingen (bij voorkeur Microsoft Azure)
 </li>
 <li>
 Begrip van data‑modellering en datagovernance
 </li>
 <li>
 Affiniteit met AI en automatisering is een sterke pr&eacute;
 </li>
 <li>
 Analytisch, gestructureerd en proactief
 </li>
 </ul>
 
 
 
 
 
 Wat bieden wij
 
 
 <ul>
 <li>
 Een sleutelrol in de transformatie naar een datagedreven organisatie
 </li>
 <li>
 Directe impact op de kwaliteit en snelheid van onze dienstverlening
 </li>
 <li>
 Werken in een professionele, internationale omgeving
 </li>
 <li>
 Ruimte om mee te bouwen aan innovatieve AI- en data‑oplossingen
 </li>
 <li>
 Marktconform salaris en goede secundaire arbeidsvoorwaarden
 </li>
 </ul>
 
 
 
 
 
 Over Odgers
 
 
 
 Odgers is een toonaangevend executive search- en leadership advisory bureau. Wij combineren menselijke expertise met data en technologie om organisaties te helpen de juiste leiders te vinden en ontwikkelen.
 
</div>

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

Sprint and Partners

<div>
 
 
 SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally
 
 
 
 
 Amsterdam
 
 (Hybrid) - Visa sponsorship and relocation included
 
 
 
 
 
 Building the backbone of data &amp; AI at scale. This is not a &ldquo;keep the lights on&rdquo; role.
 
 
 
 
 
 If you are interested in:
 
 <ul>
 <li>
 Working on systems where failure is not an option
 </li>
 <li>
 A team that values engineering quality over shortcuts
 </li>
 <li>
 Real ownership &mdash; you build it, you run it, you improve it
 </li>
 <li>
 Growth paths in deep technical expertise or leadership
 </li>
 <li>
 A setup where your work has visible, measurable impact
 </li>
 </ul>
 
 
 
 
 Check this out:
 
 
 
 
 
 You&rsquo;ll be building and evolving the core platform that everything depends on&mdash;from data pipelines to machine learning and real-time AI services. Think high-scale Kubernetes, complex distributed systems, and real reliability challenges where your decisions actually matter.
 
 
 
 
 
 If you care about uptime, performance, and engineering systems that don&rsquo;t break under pressure, this is your kind of environment.
 
 
 
 
 
 Why this role stands out for SREs / Platform Engineers
 
 <ul>
 <li>
 Reliability is the product &mdash; not an afterthought
 </li>
 <li>
 Work on real-world scale problems (not toy infra)
 </li>
 <li>
 Balance batch, streaming, and real-time workloads in one platform
 </li>
 <li>
 Tackle non-trivial Kubernetes challenges (scheduling, multi-tenancy, resource isolation)
 </li>
 <li>
 Own systems that directly impact data, ML, and AI products
 </li>
 <li>
 High autonomy, high responsibility, low bureaucracy
 </li>
 </ul>
 
 
 
 
 You&rsquo;re not just supporting engineers &mdash; you&rsquo;re enabling an entire ecosystem.
 
 
 
 
 
 What you&rsquo;ll actually do
 
 <ul>
 <li>
 Build and scale Kubernetes-based platform infrastructure, keeping systems highly available under unpredictable load
 </li>
 <li>
 Drive system reliability, availability, and performance. Preventing resource contention between critical and heavy workloads
 </li>
 <li>
 Building secure, multi-tenant platforms without performance trade-offs
 </li>
 <li>
 Automate everything that shouldn&rsquo;t require human intervention
 </li>
 <li>
 Design solutions for high-throughput, data-heavy workloads. Running GPU-powered and compute-intensive workloads efficiently.
 </li>
 <li>
 Optimize scalability. Scaling storage and networking for massive data volumes. Designing smart autoscaling and cost-efficient infrastructure.
 </li>
 <li>
 Support and unblock internal teams using the platform
 </li>
 <li>
 Continuously improve observability, alerting, and incident response
 </li>
 <li>
 Be part of an on-call rotation where reliability truly matters
 </li>
 </ul>
 
 
 
 
 You:
 
 <ul>
 <li>
 Have solid experience in SRE, Platform, or Infrastructure Engineering for data platforms or big data tooling.
 </li>
 <li>
 Are comfortable with Kubernetes in production environments
 </li>
 <li>
 Understand distributed systems and failure modes
 </li>
 <li>
 Care deeply about reliability, observability, and automation
 </li>
 <li>
 Enjoy solving complex problems rather than following playbooks
 </li>
 <li>
 Exposure to high-performance workloads or GPU environments
 </li>
 </ul>
 
 
 
 
 
 Salary and benefits
 
 
 
 The base salary is between 90K and 150K euro, depending on what you bring to the table in terms of skills, personality and experience.
 
 
 Some of the secondary benefits: a permanent contract, 20% guaranteed bonus in stock, 10K+ personal allowance (can be used as extra salary), healthcare allowance (~2K a year), holiday allowance (8%), holidays, laptop, travel allowance, relocation package for Internationals, training &amp; conferences, 30% ruling, VISA sponsorship, luxury lunch, snacks/drinks, work from home setup, etc.
 
 
 
</div>

SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally

JetBrains

<div>
 Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
 
 
 Spectrum collects data from an organization&rsquo;s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec &ndash; one that&rsquo;s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
 
 
 Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
 
 
 
 Your Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
 </li>
 <li>
 Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
 </li>
 <li>
 Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
 </li>
 <li>
 Establishing MLOps practices, including orchestration, observability, and experiment tracking.
 </li>
 <li>
 Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
 </li>
 <li>
 Defining hiring criteria, growing the ML team, and shaping the ML team culture.
 
 
 </li>
 </ul>
 
 We Expect You To Have
 
 
 
 <ul>
 <li>
 A proven track record as an ML/AI Lead.
 </li>
 <li>
 At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
 </li>
 <li>
 A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 Prompt engineering and LLM pipeline design, including evaluation.
 </li>
 <li>
 Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
 </li>
 <li>
 Vector databases and retrieval-augmented generation (RAG) patterns.
 </li>
 <li>
 Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
 </li>
 </ul>
 <li>
 Strong Python skills &ndash; Kotlin knowledge would be a plus.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
 </li>
 <li>
 Proficiency in English, both written and verbal.
 
 </li>
 </ul>
 
 Our Ideal Candidate Would Have
 
 
 
 <ul>
 <li>
 Experience with ontologies, knowledge graphs, or graph-based reasoning.
 </li>
 <li>
 Experience in early-stage startups &ndash; you enjoy the zero-to-one phase.
 </li>
 <li>
 The ability to think strategically about product-led AI, beyond just training models in isolation.
 </li>
 <li>
 A background in code analysis, developer tools, or software engineering research.
 </li>
 <li>
 Experience with multi-agent systems or complex agentic workflows.
 </li>
 <li>
 Actively contributed to relevant open-source projects or publications.
 
 
 </li>
 </ul>
 What we offer
 
 
 <ul>
 <li>
 A competitive salary and JetBrains benefits.
 </li>
 <li>
 A generous runway and corporate resources with startup autonomy.
 
 
 </li>
 </ul>
 
 We are an equal opportunity employer
 
 
 
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 
 
 
 We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
 
 
 
</div>

Founding ML Engineer (Spectrum)

Explore 76+ Data developer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

76 data developer jobs In Amsterdam

Data Engineer

Full Stack Developer Kotlin AWS JavaScript - Start-up

Data Engineer

Data Engineer

Data Engineer (Relocation to the Netherlands)

SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally

Founding ML Engineer (Spectrum)